Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [42]:
data_dir = './data'

# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Downloading mnist: 9.92MB [00:09, 1.06MB/s]                                                                  
Extracting mnist: 100%|████████████████████████████████████████████████| 60.0K/60.0K [01:38<00:00, 606File/s]
Downloading celeba: 1.44GB [13:20, 1.80MB/s]                                                                 
Extracting celeba...

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [43]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[43]:
<matplotlib.image.AxesImage at 0x1ce8eafa278>

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [44]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Out[44]:
<matplotlib.image.AxesImage at 0x1cd9f01fac8>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [45]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.0.0
Default GPU Device: /gpu:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [46]:
import problem_unittests as tests

def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    return tf.placeholder(tf.float32, shape=([None, image_width, image_height, image_channels]), name='input_real'), \
                tf.placeholder(tf.float32, shape=[None, z_dim], name='input_z'), \
                tf.placeholder(tf.float32, shape=None, name='learning_rate')


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the generator, tensor logits of the generator).

In [70]:
keep_prob = 0.8

def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param image: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    # TODO: Implement Function
    with tf.variable_scope('discriminator', reuse=reuse):       
        # Input layer is 28x28x3
        # https://prateekvjoshi.com/2016/03/29/understanding-xavier-initialization-in-deep-neural-networks/
        x1 = tf.layers.conv2d(images, 64, 5, strides=2, padding='same', kernel_initializer=tf.contrib.layers.xavier_initializer())
        relu1 = leaky_relu(x1)
        x2 = tf.layers.conv2d(relu1, 128, 5, strides=2, padding='same', kernel_initializer=tf.contrib.layers.xavier_initializer())
        batch_norm2 = tf.layers.batch_normalization(x2, training=True)
        relu2 = leaky_relu(batch_norm2)
# Discriminator should be smaller model than generator
#         x3 = tf.layers.conv2d(relu2, 256, 5, strides=2, padding='same', kernel_initializer=tf.contrib.layers.xavier_initializer())
#         batch_norm3 = tf.layers.batch_normalization(x3, training=True)
#         relu3 = leaky_relu(batch_norm3)
        #add drop out 
        drop2 = tf.nn.dropout(relu2, keep_prob)

        # Flatten
        flat = tf.reshape(drop2, (-1, 4*4*256))
        logits = tf.layers.dense(flat, 1)
        logits = tf.nn.dropout(logits, keep_prob)
        out = tf.sigmoid(logits)
    return out, logits


def leaky_relu(node, alpha=0.01, name='leaky_relu'):
    return tf.maximum(alpha * node, node, name=name)

"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variabes in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [81]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input z
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    with tf.variable_scope('generator', reuse= not is_train):

        x1 = tf.layers.dense(z, 7*7*256)
        x1 = tf.nn.dropout(x1, keep_prob) # add drop out
        x1 = tf.reshape(x1, (-1, 7, 7, 256))
        x1 = tf.layers.batch_normalization(x1, training=is_train)
        x1 = leaky_relu(x1)
        
        x2 = tf.layers.conv2d_transpose(x1, 128, 5, strides=2, padding='same')
        x2 = tf.layers.batch_normalization(x2, training=is_train)
        x2 = leaky_relu(x2)

        x3 = tf.layers.conv2d_transpose(x2, 64, 5, strides=2, padding='same')
        x3 = tf.layers.batch_normalization(x3, training=is_train)
        x3 = leaky_relu(x3)
            
        logits = tf.layers.conv2d_transpose(x3, out_channel_dim, 5, strides=1, padding='same')
        out = tf.tanh(logits)    
    return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [72]:
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    g_model = generator(input_z, out_channel_dim)
    d_model_real, d_logits_real = discriminator(input_real)
    d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)

    d_loss_real = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)))
    d_loss_fake = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
    g_loss = tf.reduce_mean(
        tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))

    d_loss = d_loss_real + d_loss_fake

    return d_loss, g_loss


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [73]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    # TODO: Implement Function
    t_vars = tf.trainable_variables()
    d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
    g_vars = [var for var in t_vars if var.name.startswith('generator')]

    # Optimize
    d_train_o = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)

    update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
    g_updates = [opt for opt in update_ops if opt.name.startswith('generator')]
    with tf.control_dependencies(g_updates):
       g_train_o = tf.train.AdamOptimizer(learning_rate, beta1).minimize(g_loss, var_list=g_vars)    
    
    return d_train_o, g_train_o


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [74]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [75]:
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    # The inputs
    input_real, input_z, lr = model_inputs(data_shape[1], data_shape[2], data_shape[3], z_dim)
    
    # Loss
    d_loss, g_loss = model_loss(input_real, input_z, data_shape[3])
    
    # Optimization
    d_train_opt, g_train_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        for epoch_i in range(epoch_count):
            steps = 0
            for batch_images in get_batches(batch_size):
                batch_images = batch_images.reshape(batch_size, data_shape[1], data_shape[2], data_shape[3])
                batch_images = batch_images*2

                z_noise = np.random.uniform(-1, 1, size=(batch_size, z_dim))

                _ = sess.run(d_train_opt, feed_dict={input_real: batch_images, input_z: z_noise})
                _ = sess.run(g_train_opt, feed_dict={input_z: z_noise})
                steps += 1

                train_loss_d = sess.run(d_loss, feed_dict={input_real: batch_images, input_z: z_noise})
                train_loss_g = g_loss.eval({input_z: z_noise})

                if steps % 10 == 0:
                    print("Epoch {}/{}: steps {}".format(epoch_i+1, epochs, steps),
                              "Discriminator Loss: {:.4f}...".format(train_loss_d),
                              "Generator Loss: {:.4f}".format(train_loss_g))

                if steps % 100 == 0:
                    show_generator_output(sess, 10, input_z, data_shape[3], data_image_mode)                   
                

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [84]:
batch_size = 64
z_dim = 100
learning_rate = .0003
beta1 = .5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 5

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1/5: steps 10 Discriminator Loss: 1.2844... Generator Loss: 0.6878
Epoch 1/5: steps 20 Discriminator Loss: 1.3078... Generator Loss: 0.8317
Epoch 1/5: steps 30 Discriminator Loss: 0.8799... Generator Loss: 1.2109
Epoch 1/5: steps 40 Discriminator Loss: 1.1637... Generator Loss: 0.7993
Epoch 1/5: steps 50 Discriminator Loss: 0.9290... Generator Loss: 1.0208
Epoch 1/5: steps 60 Discriminator Loss: 0.9290... Generator Loss: 1.1219
Epoch 1/5: steps 70 Discriminator Loss: 1.3494... Generator Loss: 0.8403
Epoch 1/5: steps 80 Discriminator Loss: 1.3122... Generator Loss: 0.7262
Epoch 1/5: steps 90 Discriminator Loss: 1.2294... Generator Loss: 0.7808
Epoch 1/5: steps 100 Discriminator Loss: 1.2077... Generator Loss: 0.8382
Epoch 1/5: steps 110 Discriminator Loss: 1.2874... Generator Loss: 0.8538
Epoch 1/5: steps 120 Discriminator Loss: 1.1600... Generator Loss: 0.7594
Epoch 1/5: steps 130 Discriminator Loss: 1.2797... Generator Loss: 0.7129
Epoch 1/5: steps 140 Discriminator Loss: 1.2119... Generator Loss: 0.7944
Epoch 1/5: steps 150 Discriminator Loss: 1.1741... Generator Loss: 0.9199
Epoch 1/5: steps 160 Discriminator Loss: 1.2822... Generator Loss: 0.8651
Epoch 1/5: steps 170 Discriminator Loss: 1.2700... Generator Loss: 0.8286
Epoch 1/5: steps 180 Discriminator Loss: 1.1507... Generator Loss: 0.9799
Epoch 1/5: steps 190 Discriminator Loss: 1.2797... Generator Loss: 0.8113
Epoch 1/5: steps 200 Discriminator Loss: 1.2025... Generator Loss: 0.8467
Epoch 1/5: steps 210 Discriminator Loss: 1.2619... Generator Loss: 0.8831
Epoch 1/5: steps 220 Discriminator Loss: 1.3465... Generator Loss: 0.7986
Epoch 1/5: steps 230 Discriminator Loss: 1.3250... Generator Loss: 0.8387
Epoch 1/5: steps 240 Discriminator Loss: 1.2980... Generator Loss: 0.8028
Epoch 1/5: steps 250 Discriminator Loss: 1.2577... Generator Loss: 0.7646
Epoch 1/5: steps 260 Discriminator Loss: 1.2713... Generator Loss: 0.9242
Epoch 1/5: steps 270 Discriminator Loss: 1.3119... Generator Loss: 0.7220
Epoch 1/5: steps 280 Discriminator Loss: 1.2589... Generator Loss: 0.7767
Epoch 1/5: steps 290 Discriminator Loss: 1.2631... Generator Loss: 0.8329
Epoch 1/5: steps 300 Discriminator Loss: 1.2358... Generator Loss: 0.8531
Epoch 1/5: steps 310 Discriminator Loss: 1.2274... Generator Loss: 0.7437
Epoch 1/5: steps 320 Discriminator Loss: 1.2999... Generator Loss: 0.7945
Epoch 1/5: steps 330 Discriminator Loss: 1.2673... Generator Loss: 0.9083
Epoch 1/5: steps 340 Discriminator Loss: 1.3479... Generator Loss: 0.7933
Epoch 1/5: steps 350 Discriminator Loss: 1.2532... Generator Loss: 0.9143
Epoch 1/5: steps 360 Discriminator Loss: 1.2490... Generator Loss: 0.9042
Epoch 1/5: steps 370 Discriminator Loss: 1.3252... Generator Loss: 0.8447
Epoch 1/5: steps 380 Discriminator Loss: 1.1634... Generator Loss: 0.8080
Epoch 1/5: steps 390 Discriminator Loss: 1.3041... Generator Loss: 0.7611
Epoch 1/5: steps 400 Discriminator Loss: 1.2345... Generator Loss: 0.8441
Epoch 1/5: steps 410 Discriminator Loss: 1.2543... Generator Loss: 0.7493
Epoch 1/5: steps 420 Discriminator Loss: 1.2539... Generator Loss: 0.8263
Epoch 1/5: steps 430 Discriminator Loss: 1.3030... Generator Loss: 0.8390
Epoch 1/5: steps 440 Discriminator Loss: 1.2808... Generator Loss: 0.8310
Epoch 1/5: steps 450 Discriminator Loss: 1.1767... Generator Loss: 0.8756
Epoch 1/5: steps 460 Discriminator Loss: 1.2978... Generator Loss: 0.6877
Epoch 1/5: steps 470 Discriminator Loss: 1.2928... Generator Loss: 0.8425
Epoch 1/5: steps 480 Discriminator Loss: 1.1908... Generator Loss: 0.8765
Epoch 1/5: steps 490 Discriminator Loss: 1.2481... Generator Loss: 0.7307
Epoch 1/5: steps 500 Discriminator Loss: 1.2545... Generator Loss: 0.8466
Epoch 1/5: steps 510 Discriminator Loss: 1.1568... Generator Loss: 0.8647
Epoch 1/5: steps 520 Discriminator Loss: 1.3049... Generator Loss: 0.7341
Epoch 1/5: steps 530 Discriminator Loss: 1.2721... Generator Loss: 0.7575
Epoch 1/5: steps 540 Discriminator Loss: 1.1860... Generator Loss: 0.8390
Epoch 1/5: steps 550 Discriminator Loss: 1.2304... Generator Loss: 0.7792
Epoch 1/5: steps 560 Discriminator Loss: 1.2981... Generator Loss: 0.8205
Epoch 1/5: steps 570 Discriminator Loss: 1.2342... Generator Loss: 0.8837
Epoch 1/5: steps 580 Discriminator Loss: 1.2734... Generator Loss: 0.7386
Epoch 1/5: steps 590 Discriminator Loss: 1.1757... Generator Loss: 0.8840
Epoch 1/5: steps 600 Discriminator Loss: 1.2912... Generator Loss: 0.8048
Epoch 1/5: steps 610 Discriminator Loss: 1.2488... Generator Loss: 0.8480
Epoch 1/5: steps 620 Discriminator Loss: 1.2181... Generator Loss: 0.7336
Epoch 1/5: steps 630 Discriminator Loss: 1.1605... Generator Loss: 0.8206
Epoch 1/5: steps 640 Discriminator Loss: 1.2222... Generator Loss: 0.8090
Epoch 1/5: steps 650 Discriminator Loss: 1.3474... Generator Loss: 0.8090
Epoch 1/5: steps 660 Discriminator Loss: 1.1782... Generator Loss: 1.0533
Epoch 1/5: steps 670 Discriminator Loss: 1.2942... Generator Loss: 0.8093
Epoch 1/5: steps 680 Discriminator Loss: 1.2199... Generator Loss: 0.7276
Epoch 1/5: steps 690 Discriminator Loss: 1.2940... Generator Loss: 0.9284
Epoch 1/5: steps 700 Discriminator Loss: 1.2376... Generator Loss: 0.8444
Epoch 1/5: steps 710 Discriminator Loss: 1.2697... Generator Loss: 0.9803
Epoch 1/5: steps 720 Discriminator Loss: 1.3541... Generator Loss: 0.7483
Epoch 1/5: steps 730 Discriminator Loss: 1.2649... Generator Loss: 0.7835
Epoch 1/5: steps 740 Discriminator Loss: 1.2694... Generator Loss: 0.8413
Epoch 1/5: steps 750 Discriminator Loss: 1.1136... Generator Loss: 0.8834
Epoch 1/5: steps 760 Discriminator Loss: 1.1691... Generator Loss: 0.8551
Epoch 1/5: steps 770 Discriminator Loss: 1.1809... Generator Loss: 0.8820
Epoch 1/5: steps 780 Discriminator Loss: 1.3004... Generator Loss: 0.7246
Epoch 1/5: steps 790 Discriminator Loss: 1.3070... Generator Loss: 1.0823
Epoch 1/5: steps 800 Discriminator Loss: 1.2191... Generator Loss: 0.8287
Epoch 1/5: steps 810 Discriminator Loss: 1.2343... Generator Loss: 0.8341
Epoch 1/5: steps 820 Discriminator Loss: 1.2276... Generator Loss: 0.8424
Epoch 1/5: steps 830 Discriminator Loss: 1.1768... Generator Loss: 0.9659
Epoch 1/5: steps 840 Discriminator Loss: 1.2262... Generator Loss: 0.7477
Epoch 1/5: steps 850 Discriminator Loss: 1.1730... Generator Loss: 1.0589
Epoch 1/5: steps 860 Discriminator Loss: 1.4110... Generator Loss: 0.7671
Epoch 1/5: steps 870 Discriminator Loss: 1.3144... Generator Loss: 0.6294
Epoch 1/5: steps 880 Discriminator Loss: 1.0775... Generator Loss: 0.9440
Epoch 1/5: steps 890 Discriminator Loss: 1.2320... Generator Loss: 0.9406
Epoch 1/5: steps 900 Discriminator Loss: 1.2186... Generator Loss: 0.9377
Epoch 1/5: steps 910 Discriminator Loss: 1.2046... Generator Loss: 0.9343
Epoch 1/5: steps 920 Discriminator Loss: 1.0803... Generator Loss: 1.0031
Epoch 1/5: steps 930 Discriminator Loss: 1.2675... Generator Loss: 0.8125
Epoch 2/5: steps 10 Discriminator Loss: 1.1133... Generator Loss: 1.0187
Epoch 2/5: steps 20 Discriminator Loss: 1.2889... Generator Loss: 0.8226
Epoch 2/5: steps 30 Discriminator Loss: 1.2406... Generator Loss: 0.9133
Epoch 2/5: steps 40 Discriminator Loss: 1.2390... Generator Loss: 0.8919
Epoch 2/5: steps 50 Discriminator Loss: 1.2926... Generator Loss: 0.6769
Epoch 2/5: steps 60 Discriminator Loss: 1.2700... Generator Loss: 0.7776
Epoch 2/5: steps 70 Discriminator Loss: 1.2484... Generator Loss: 0.7927
Epoch 2/5: steps 80 Discriminator Loss: 1.1916... Generator Loss: 0.8733
Epoch 2/5: steps 90 Discriminator Loss: 1.3121... Generator Loss: 0.9195
Epoch 2/5: steps 100 Discriminator Loss: 1.2241... Generator Loss: 0.7955
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Epoch 5/5: steps 190 Discriminator Loss: 1.2451... Generator Loss: 0.8099
Epoch 5/5: steps 200 Discriminator Loss: 1.1923... Generator Loss: 0.7932
Epoch 5/5: steps 210 Discriminator Loss: 1.1728... Generator Loss: 0.9068
Epoch 5/5: steps 220 Discriminator Loss: 1.2716... Generator Loss: 0.8435
Epoch 5/5: steps 230 Discriminator Loss: 1.2146... Generator Loss: 0.8418
Epoch 5/5: steps 240 Discriminator Loss: 1.1913... Generator Loss: 0.8966
Epoch 5/5: steps 250 Discriminator Loss: 1.1390... Generator Loss: 0.8711
Epoch 5/5: steps 260 Discriminator Loss: 1.1398... Generator Loss: 0.8148
Epoch 5/5: steps 270 Discriminator Loss: 1.1774... Generator Loss: 0.9099
Epoch 5/5: steps 280 Discriminator Loss: 1.2769... Generator Loss: 0.9407
Epoch 5/5: steps 290 Discriminator Loss: 1.0673... Generator Loss: 0.9111
Epoch 5/5: steps 300 Discriminator Loss: 1.2513... Generator Loss: 0.8377
Epoch 5/5: steps 310 Discriminator Loss: 1.1610... Generator Loss: 0.8845
Epoch 5/5: steps 320 Discriminator Loss: 1.2140... Generator Loss: 0.7764
Epoch 5/5: steps 330 Discriminator Loss: 1.0956... Generator Loss: 0.9278
Epoch 5/5: steps 340 Discriminator Loss: 1.2056... Generator Loss: 0.8081
Epoch 5/5: steps 350 Discriminator Loss: 1.2411... Generator Loss: 1.0508
Epoch 5/5: steps 360 Discriminator Loss: 1.1422... Generator Loss: 0.8309
Epoch 5/5: steps 370 Discriminator Loss: 1.2807... Generator Loss: 0.8977
Epoch 5/5: steps 380 Discriminator Loss: 1.0676... Generator Loss: 1.0083
Epoch 5/5: steps 390 Discriminator Loss: 1.2205... Generator Loss: 0.8509
Epoch 5/5: steps 400 Discriminator Loss: 1.1850... Generator Loss: 0.9421
Epoch 5/5: steps 410 Discriminator Loss: 1.1944... Generator Loss: 0.8115
Epoch 5/5: steps 420 Discriminator Loss: 1.2317... Generator Loss: 0.8815
Epoch 5/5: steps 430 Discriminator Loss: 1.3063... Generator Loss: 0.8562
Epoch 5/5: steps 440 Discriminator Loss: 1.1364... Generator Loss: 0.8675
Epoch 5/5: steps 450 Discriminator Loss: 1.1176... Generator Loss: 1.0965
Epoch 5/5: steps 460 Discriminator Loss: 1.1850... Generator Loss: 1.0061
Epoch 5/5: steps 470 Discriminator Loss: 1.1881... Generator Loss: 0.8295
Epoch 5/5: steps 480 Discriminator Loss: 1.2789... Generator Loss: 0.8525
Epoch 5/5: steps 490 Discriminator Loss: 1.2419... Generator Loss: 0.9056
Epoch 5/5: steps 500 Discriminator Loss: 1.0881... Generator Loss: 0.9364
Epoch 5/5: steps 510 Discriminator Loss: 1.2047... Generator Loss: 0.9329
Epoch 5/5: steps 520 Discriminator Loss: 1.1226... Generator Loss: 0.8741
Epoch 5/5: steps 530 Discriminator Loss: 1.2145... Generator Loss: 1.1240
Epoch 5/5: steps 540 Discriminator Loss: 1.1712... Generator Loss: 0.8723
Epoch 5/5: steps 550 Discriminator Loss: 1.1502... Generator Loss: 1.0452
Epoch 5/5: steps 560 Discriminator Loss: 1.1782... Generator Loss: 0.7501
Epoch 5/5: steps 570 Discriminator Loss: 1.1934... Generator Loss: 1.0688
Epoch 5/5: steps 580 Discriminator Loss: 1.2108... Generator Loss: 0.8773
Epoch 5/5: steps 590 Discriminator Loss: 1.2533... Generator Loss: 1.0228
Epoch 5/5: steps 600 Discriminator Loss: 1.2114... Generator Loss: 0.7463
Epoch 5/5: steps 610 Discriminator Loss: 1.1731... Generator Loss: 0.9741
Epoch 5/5: steps 620 Discriminator Loss: 1.2583... Generator Loss: 0.9904
Epoch 5/5: steps 630 Discriminator Loss: 1.3415... Generator Loss: 1.1311
Epoch 5/5: steps 640 Discriminator Loss: 1.1972... Generator Loss: 0.9621
Epoch 5/5: steps 650 Discriminator Loss: 1.3447... Generator Loss: 0.9178
Epoch 5/5: steps 660 Discriminator Loss: 1.2612... Generator Loss: 0.9730
Epoch 5/5: steps 670 Discriminator Loss: 1.1502... Generator Loss: 0.9383
Epoch 5/5: steps 680 Discriminator Loss: 1.2611... Generator Loss: 0.8913
Epoch 5/5: steps 690 Discriminator Loss: 1.2114... Generator Loss: 1.0262
Epoch 5/5: steps 700 Discriminator Loss: 1.2293... Generator Loss: 0.9276
Epoch 5/5: steps 710 Discriminator Loss: 1.2928... Generator Loss: 0.6819
Epoch 5/5: steps 720 Discriminator Loss: 1.2784... Generator Loss: 0.8320
Epoch 5/5: steps 730 Discriminator Loss: 1.1705... Generator Loss: 0.9195
Epoch 5/5: steps 740 Discriminator Loss: 1.2154... Generator Loss: 0.8401
Epoch 5/5: steps 750 Discriminator Loss: 1.2198... Generator Loss: 0.8413
Epoch 5/5: steps 760 Discriminator Loss: 1.1540... Generator Loss: 0.8553
Epoch 5/5: steps 770 Discriminator Loss: 1.1722... Generator Loss: 0.8524
Epoch 5/5: steps 780 Discriminator Loss: 1.3064... Generator Loss: 0.8534
Epoch 5/5: steps 790 Discriminator Loss: 1.2874... Generator Loss: 0.9210
Epoch 5/5: steps 800 Discriminator Loss: 1.2771... Generator Loss: 0.8616
Epoch 5/5: steps 810 Discriminator Loss: 1.1724... Generator Loss: 1.0223
Epoch 5/5: steps 820 Discriminator Loss: 1.1291... Generator Loss: 0.9029
Epoch 5/5: steps 830 Discriminator Loss: 1.1638... Generator Loss: 1.0271
Epoch 5/5: steps 840 Discriminator Loss: 1.1339... Generator Loss: 0.7463
Epoch 5/5: steps 850 Discriminator Loss: 1.4603... Generator Loss: 0.4194
Epoch 5/5: steps 860 Discriminator Loss: 1.3639... Generator Loss: 0.9799
Epoch 5/5: steps 870 Discriminator Loss: 1.3457... Generator Loss: 0.8359
Epoch 5/5: steps 880 Discriminator Loss: 1.3679... Generator Loss: 0.9139
Epoch 5/5: steps 890 Discriminator Loss: 1.0896... Generator Loss: 0.9294
Epoch 5/5: steps 900 Discriminator Loss: 1.1603... Generator Loss: 0.8230
Epoch 5/5: steps 910 Discriminator Loss: 1.1682... Generator Loss: 0.8210
Epoch 5/5: steps 920 Discriminator Loss: 1.1668... Generator Loss: 0.7060
Epoch 5/5: steps 930 Discriminator Loss: 1.2111... Generator Loss: 1.0775

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [ ]:
batch_size = 64
z_dim = 100
learning_rate = .0002
beta1 = .5


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 5

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1/5: steps 10 Discriminator Loss: 1.5192... Generator Loss: 0.6782
Epoch 1/5: steps 20 Discriminator Loss: 1.4686... Generator Loss: 0.7772
Epoch 1/5: steps 30 Discriminator Loss: 1.3323... Generator Loss: 0.7284
Epoch 1/5: steps 40 Discriminator Loss: 1.2378... Generator Loss: 0.9239
Epoch 1/5: steps 50 Discriminator Loss: 1.0628... Generator Loss: 1.0307
Epoch 1/5: steps 60 Discriminator Loss: 0.9794... Generator Loss: 1.0577
Epoch 1/5: steps 70 Discriminator Loss: 0.8427... Generator Loss: 1.2717
Epoch 1/5: steps 80 Discriminator Loss: 0.7993... Generator Loss: 1.3237
Epoch 1/5: steps 90 Discriminator Loss: 0.7460... Generator Loss: 1.1865
Epoch 1/5: steps 100 Discriminator Loss: 0.6681... Generator Loss: 1.5467
Epoch 1/5: steps 110 Discriminator Loss: 0.6745... Generator Loss: 1.6039
Epoch 1/5: steps 120 Discriminator Loss: 0.5455... Generator Loss: 1.8599
Epoch 1/5: steps 130 Discriminator Loss: 0.4885... Generator Loss: 1.7194
Epoch 1/5: steps 140 Discriminator Loss: 0.4652... Generator Loss: 1.9130
Epoch 1/5: steps 150 Discriminator Loss: 0.5569... Generator Loss: 1.9953
Epoch 1/5: steps 160 Discriminator Loss: 0.5278... Generator Loss: 1.8289
Epoch 1/5: steps 170 Discriminator Loss: 0.5327... Generator Loss: 2.1200
Epoch 1/5: steps 180 Discriminator Loss: 0.4889... Generator Loss: 1.8191
Epoch 1/5: steps 190 Discriminator Loss: 0.4039... Generator Loss: 2.4454
Epoch 1/5: steps 200 Discriminator Loss: 0.3689... Generator Loss: 2.4768
Epoch 1/5: steps 210 Discriminator Loss: 0.4191... Generator Loss: 2.7939
Epoch 1/5: steps 220 Discriminator Loss: 0.4046... Generator Loss: 2.3668
Epoch 1/5: steps 230 Discriminator Loss: 0.4185... Generator Loss: 2.4553
Epoch 1/5: steps 240 Discriminator Loss: 0.4496... Generator Loss: 2.4675
Epoch 1/5: steps 250 Discriminator Loss: 0.8382... Generator Loss: 2.0332
Epoch 1/5: steps 260 Discriminator Loss: 0.5890... Generator Loss: 1.3996
Epoch 1/5: steps 270 Discriminator Loss: 0.6819... Generator Loss: 1.3454
Epoch 1/5: steps 280 Discriminator Loss: 1.3955... Generator Loss: 0.4520
Epoch 1/5: steps 290 Discriminator Loss: 0.7761... Generator Loss: 1.3655
Epoch 1/5: steps 300 Discriminator Loss: 0.5360... Generator Loss: 1.5492
Epoch 1/5: steps 310 Discriminator Loss: 0.6289... Generator Loss: 1.9019
Epoch 1/5: steps 320 Discriminator Loss: 0.8050... Generator Loss: 0.9963
Epoch 1/5: steps 330 Discriminator Loss: 0.4926... Generator Loss: 1.8004
Epoch 1/5: steps 340 Discriminator Loss: 0.5318... Generator Loss: 1.6898
Epoch 1/5: steps 350 Discriminator Loss: 0.5728... Generator Loss: 1.7145
Epoch 1/5: steps 360 Discriminator Loss: 0.4023... Generator Loss: 2.4961
Epoch 1/5: steps 370 Discriminator Loss: 0.3638... Generator Loss: 3.3226
Epoch 1/5: steps 380 Discriminator Loss: 0.4047... Generator Loss: 2.9765
Epoch 1/5: steps 390 Discriminator Loss: 0.4360... Generator Loss: 2.0871
Epoch 1/5: steps 400 Discriminator Loss: 0.4058... Generator Loss: 2.7842
Epoch 1/5: steps 410 Discriminator Loss: 0.6540... Generator Loss: 1.3023
Epoch 1/5: steps 420 Discriminator Loss: 0.6973... Generator Loss: 1.0090
Epoch 1/5: steps 430 Discriminator Loss: 0.3561... Generator Loss: 3.6520
Epoch 1/5: steps 440 Discriminator Loss: 0.5642... Generator Loss: 1.6379
Epoch 1/5: steps 450 Discriminator Loss: 0.6127... Generator Loss: 1.2295
Epoch 1/5: steps 460 Discriminator Loss: 0.3779... Generator Loss: 3.1109
Epoch 1/5: steps 470 Discriminator Loss: 0.3635... Generator Loss: 2.1954
Epoch 1/5: steps 480 Discriminator Loss: 0.4375... Generator Loss: 8.0290
Epoch 1/5: steps 490 Discriminator Loss: 0.6376... Generator Loss: 2.7203
Epoch 1/5: steps 500 Discriminator Loss: 0.5318... Generator Loss: 1.4709
Epoch 1/5: steps 510 Discriminator Loss: 0.4356... Generator Loss: 3.1780
Epoch 1/5: steps 520 Discriminator Loss: 0.4738... Generator Loss: 1.8482
Epoch 1/5: steps 530 Discriminator Loss: 0.3973... Generator Loss: 2.5151
Epoch 1/5: steps 540 Discriminator Loss: 0.5138... Generator Loss: 1.6781
Epoch 1/5: steps 550 Discriminator Loss: 0.3654... Generator Loss: 3.0520
Epoch 1/5: steps 560 Discriminator Loss: 0.3752... Generator Loss: 3.3289
Epoch 1/5: steps 570 Discriminator Loss: 0.5028... Generator Loss: 1.4758
Epoch 1/5: steps 580 Discriminator Loss: 0.4306... Generator Loss: 3.5621
Epoch 1/5: steps 590 Discriminator Loss: 0.3273... Generator Loss: 5.0551
Epoch 1/5: steps 600 Discriminator Loss: 0.3590... Generator Loss: 3.9476
Epoch 1/5: steps 610 Discriminator Loss: 0.4265... Generator Loss: 2.5437
Epoch 1/5: steps 620 Discriminator Loss: 0.4193... Generator Loss: 4.0507
Epoch 1/5: steps 630 Discriminator Loss: 0.3707... Generator Loss: 2.8156
Epoch 1/5: steps 640 Discriminator Loss: 0.4921... Generator Loss: 3.3273
Epoch 1/5: steps 650 Discriminator Loss: 0.3383... Generator Loss: 4.1146
Epoch 1/5: steps 660 Discriminator Loss: 0.4943... Generator Loss: 1.8476
Epoch 1/5: steps 670 Discriminator Loss: 0.3974... Generator Loss: 2.9515
Epoch 1/5: steps 680 Discriminator Loss: 0.3838... Generator Loss: 2.2258
Epoch 1/5: steps 690 Discriminator Loss: 0.3646... Generator Loss: 2.6790
Epoch 1/5: steps 700 Discriminator Loss: 0.3603... Generator Loss: 2.6738
Epoch 1/5: steps 710 Discriminator Loss: 0.3577... Generator Loss: 2.8696
Epoch 1/5: steps 720 Discriminator Loss: 0.3549... Generator Loss: 2.8707
Epoch 1/5: steps 730 Discriminator Loss: 0.3916... Generator Loss: 2.1700
Epoch 1/5: steps 740 Discriminator Loss: 0.3937... Generator Loss: 2.7461
Epoch 1/5: steps 750 Discriminator Loss: 0.6986... Generator Loss: 1.1114
Epoch 1/5: steps 760 Discriminator Loss: 0.6450... Generator Loss: 1.2556
Epoch 1/5: steps 770 Discriminator Loss: 0.3840... Generator Loss: 5.2096
Epoch 1/5: steps 780 Discriminator Loss: 0.3124... Generator Loss: 7.0366
Epoch 1/5: steps 790 Discriminator Loss: 0.5434... Generator Loss: 3.4836
Epoch 1/5: steps 800 Discriminator Loss: 0.5097... Generator Loss: 1.9451
Epoch 1/5: steps 810 Discriminator Loss: 0.4832... Generator Loss: 1.7235
Epoch 1/5: steps 820 Discriminator Loss: 0.4093... Generator Loss: 2.0122
Epoch 1/5: steps 830 Discriminator Loss: 0.4718... Generator Loss: 2.3181
Epoch 1/5: steps 840 Discriminator Loss: 0.3593... Generator Loss: 2.3013
Epoch 1/5: steps 850 Discriminator Loss: 0.3818... Generator Loss: 2.5707
Epoch 1/5: steps 860 Discriminator Loss: 0.3997... Generator Loss: 2.2496
Epoch 1/5: steps 870 Discriminator Loss: 0.3905... Generator Loss: 2.2576
Epoch 1/5: steps 880 Discriminator Loss: 0.3372... Generator Loss: 3.9857
Epoch 1/5: steps 890 Discriminator Loss: 0.4761... Generator Loss: 1.6131
Epoch 1/5: steps 900 Discriminator Loss: 0.7294... Generator Loss: 1.4536
Epoch 1/5: steps 910 Discriminator Loss: 0.3868... Generator Loss: 2.7961
Epoch 1/5: steps 920 Discriminator Loss: 0.8857... Generator Loss: 3.3619
Epoch 1/5: steps 930 Discriminator Loss: 0.5110... Generator Loss: 1.5866
Epoch 1/5: steps 940 Discriminator Loss: 0.5366... Generator Loss: 1.8076
Epoch 1/5: steps 950 Discriminator Loss: 0.5036... Generator Loss: 2.5187
Epoch 1/5: steps 960 Discriminator Loss: 0.3606... Generator Loss: 3.4227
Epoch 1/5: steps 970 Discriminator Loss: 0.3711... Generator Loss: 3.2038
Epoch 1/5: steps 980 Discriminator Loss: 0.5526... Generator Loss: 1.9197
Epoch 1/5: steps 990 Discriminator Loss: 1.1375... Generator Loss: 1.0391
Epoch 1/5: steps 1000 Discriminator Loss: 0.4423... Generator Loss: 2.6213
Epoch 1/5: steps 1010 Discriminator Loss: 0.4853... Generator Loss: 1.6335
Epoch 1/5: steps 1020 Discriminator Loss: 0.5970... Generator Loss: 1.4087
Epoch 1/5: steps 1030 Discriminator Loss: 0.3876... Generator Loss: 2.5100
Epoch 1/5: steps 1040 Discriminator Loss: 0.4243... Generator Loss: 2.2860
Epoch 1/5: steps 1050 Discriminator Loss: 0.5173... Generator Loss: 1.9567
Epoch 1/5: steps 1060 Discriminator Loss: 0.4216... Generator Loss: 3.1631
Epoch 1/5: steps 1070 Discriminator Loss: 0.4385... Generator Loss: 1.8222
Epoch 1/5: steps 1080 Discriminator Loss: 0.4499... Generator Loss: 1.8186
Epoch 1/5: steps 1090 Discriminator Loss: 0.4085... Generator Loss: 2.6527
Epoch 1/5: steps 1100 Discriminator Loss: 0.4440... Generator Loss: 3.2434
Epoch 1/5: steps 1110 Discriminator Loss: 1.3348... Generator Loss: 1.7065
Epoch 1/5: steps 1120 Discriminator Loss: 0.9438... Generator Loss: 0.9319
Epoch 1/5: steps 1130 Discriminator Loss: 0.4871... Generator Loss: 2.1188
Epoch 1/5: steps 1140 Discriminator Loss: 0.5497... Generator Loss: 1.6109
Epoch 1/5: steps 1150 Discriminator Loss: 0.4281... Generator Loss: 2.6048
Epoch 1/5: steps 1160 Discriminator Loss: 0.4230... Generator Loss: 3.8257
Epoch 1/5: steps 1170 Discriminator Loss: 0.5600... Generator Loss: 2.7956
Epoch 1/5: steps 1180 Discriminator Loss: 0.4107... Generator Loss: 2.3453
Epoch 1/5: steps 1190 Discriminator Loss: 0.7474... Generator Loss: 1.1742
Epoch 1/5: steps 1200 Discriminator Loss: 0.7929... Generator Loss: 0.8963
Epoch 1/5: steps 1210 Discriminator Loss: 0.6164... Generator Loss: 1.3974
Epoch 1/5: steps 1220 Discriminator Loss: 0.5560... Generator Loss: 2.1969
Epoch 1/5: steps 1230 Discriminator Loss: 1.3992... Generator Loss: 0.7793
Epoch 1/5: steps 1240 Discriminator Loss: 0.8428... Generator Loss: 1.2415
Epoch 1/5: steps 1250 Discriminator Loss: 0.7857... Generator Loss: 0.9471
Epoch 1/5: steps 1260 Discriminator Loss: 0.6047... Generator Loss: 1.5613
Epoch 1/5: steps 1270 Discriminator Loss: 0.5788... Generator Loss: 2.1164
Epoch 1/5: steps 1280 Discriminator Loss: 0.5573... Generator Loss: 1.6513
Epoch 1/5: steps 1290 Discriminator Loss: 0.7041... Generator Loss: 2.0018
Epoch 1/5: steps 1300 Discriminator Loss: 0.5321... Generator Loss: 1.7516
Epoch 1/5: steps 1310 Discriminator Loss: 0.5017... Generator Loss: 2.5598
Epoch 1/5: steps 1320 Discriminator Loss: 0.5048... Generator Loss: 1.8457
Epoch 1/5: steps 1330 Discriminator Loss: 0.5985... Generator Loss: 1.7759
Epoch 1/5: steps 1340 Discriminator Loss: 0.5660... Generator Loss: 2.7225
Epoch 1/5: steps 1350 Discriminator Loss: 0.6831... Generator Loss: 1.2228
Epoch 1/5: steps 1360 Discriminator Loss: 1.2802... Generator Loss: 1.6086
Epoch 1/5: steps 1370 Discriminator Loss: 0.8691... Generator Loss: 0.9046
Epoch 1/5: steps 1380 Discriminator Loss: 0.7494... Generator Loss: 1.5025
Epoch 1/5: steps 1390 Discriminator Loss: 0.6133... Generator Loss: 1.4716
Epoch 1/5: steps 1400 Discriminator Loss: 0.6399... Generator Loss: 1.4458
Epoch 1/5: steps 1410 Discriminator Loss: 0.5288... Generator Loss: 2.0830
Epoch 1/5: steps 1420 Discriminator Loss: 0.6662... Generator Loss: 1.7682
Epoch 1/5: steps 1430 Discriminator Loss: 1.1669... Generator Loss: 0.7684
Epoch 1/5: steps 1440 Discriminator Loss: 0.7979... Generator Loss: 1.1564
Epoch 1/5: steps 1450 Discriminator Loss: 0.8328... Generator Loss: 1.4694
Epoch 1/5: steps 1460 Discriminator Loss: 0.5678... Generator Loss: 1.8402
Epoch 1/5: steps 1470 Discriminator Loss: 0.7120... Generator Loss: 1.3873
Epoch 1/5: steps 1480 Discriminator Loss: 2.7294... Generator Loss: 2.6079
Epoch 1/5: steps 1490 Discriminator Loss: 0.8650... Generator Loss: 1.2274
Epoch 1/5: steps 1500 Discriminator Loss: 0.7690... Generator Loss: 1.0992
Epoch 1/5: steps 1510 Discriminator Loss: 0.6657... Generator Loss: 2.1055
Epoch 1/5: steps 1520 Discriminator Loss: 0.5315... Generator Loss: 2.1053
Epoch 1/5: steps 1530 Discriminator Loss: 0.6774... Generator Loss: 1.7328
Epoch 1/5: steps 1540 Discriminator Loss: 0.8442... Generator Loss: 1.1018
Epoch 1/5: steps 1550 Discriminator Loss: 0.6471... Generator Loss: 1.7660
Epoch 1/5: steps 1560 Discriminator Loss: 1.1192... Generator Loss: 0.7474
Epoch 1/5: steps 1570 Discriminator Loss: 0.7366... Generator Loss: 1.2421
Epoch 1/5: steps 1580 Discriminator Loss: 0.6893... Generator Loss: 1.7837
Epoch 1/5: steps 1590 Discriminator Loss: 0.7469... Generator Loss: 1.4348
Epoch 1/5: steps 1600 Discriminator Loss: 1.1114... Generator Loss: 1.0684
Epoch 1/5: steps 1610 Discriminator Loss: 0.7372... Generator Loss: 1.3941
Epoch 1/5: steps 1620 Discriminator Loss: 0.7066... Generator Loss: 1.3792
Epoch 1/5: steps 1630 Discriminator Loss: 0.5655... Generator Loss: 1.5915
Epoch 1/5: steps 1640 Discriminator Loss: 0.6253... Generator Loss: 1.8856
Epoch 1/5: steps 1650 Discriminator Loss: 0.8476... Generator Loss: 1.7051
Epoch 1/5: steps 1660 Discriminator Loss: 1.6285... Generator Loss: 1.1162
Epoch 1/5: steps 1670 Discriminator Loss: 1.0232... Generator Loss: 0.9226
Epoch 1/5: steps 1680 Discriminator Loss: 0.8811... Generator Loss: 1.4122
Epoch 1/5: steps 1690 Discriminator Loss: 0.9059... Generator Loss: 1.0479
Epoch 1/5: steps 1700 Discriminator Loss: 1.0812... Generator Loss: 1.7653
Epoch 1/5: steps 1710 Discriminator Loss: 0.9287... Generator Loss: 1.0437
Epoch 1/5: steps 1720 Discriminator Loss: 0.8823... Generator Loss: 0.9486
Epoch 1/5: steps 1730 Discriminator Loss: 0.7908... Generator Loss: 1.1798
Epoch 1/5: steps 1740 Discriminator Loss: 0.8516... Generator Loss: 1.1690
Epoch 1/5: steps 1750 Discriminator Loss: 0.9553... Generator Loss: 1.4809
Epoch 1/5: steps 1760 Discriminator Loss: 0.8036... Generator Loss: 1.3647
Epoch 1/5: steps 1770 Discriminator Loss: 0.7906... Generator Loss: 1.2924
Epoch 1/5: steps 1780 Discriminator Loss: 0.6585... Generator Loss: 1.6166
Epoch 1/5: steps 1790 Discriminator Loss: 1.4312... Generator Loss: 0.9791
Epoch 1/5: steps 1800 Discriminator Loss: 0.9862... Generator Loss: 1.1298
Epoch 1/5: steps 1810 Discriminator Loss: 0.7819... Generator Loss: 1.1423
Epoch 1/5: steps 1820 Discriminator Loss: 0.8215... Generator Loss: 1.1385
Epoch 1/5: steps 1830 Discriminator Loss: 1.6482... Generator Loss: 1.0662
Epoch 1/5: steps 1840 Discriminator Loss: 0.9577... Generator Loss: 1.0366
Epoch 1/5: steps 1850 Discriminator Loss: 0.9140... Generator Loss: 1.0105
Epoch 1/5: steps 1860 Discriminator Loss: 0.8982... Generator Loss: 1.0456
Epoch 1/5: steps 1870 Discriminator Loss: 0.9821... Generator Loss: 1.0886
Epoch 1/5: steps 1880 Discriminator Loss: 0.8379... Generator Loss: 0.9970
Epoch 1/5: steps 1890 Discriminator Loss: 0.7075... Generator Loss: 1.3035
Epoch 1/5: steps 1900 Discriminator Loss: 0.7900... Generator Loss: 1.3725
Epoch 1/5: steps 1910 Discriminator Loss: 0.9137... Generator Loss: 1.1156
Epoch 1/5: steps 1920 Discriminator Loss: 0.8745... Generator Loss: 1.0000
Epoch 1/5: steps 1930 Discriminator Loss: 0.8771... Generator Loss: 1.1914
Epoch 1/5: steps 1940 Discriminator Loss: 0.8572... Generator Loss: 1.0388
Epoch 1/5: steps 1950 Discriminator Loss: 0.9922... Generator Loss: 1.0692
Epoch 1/5: steps 1960 Discriminator Loss: 0.8828... Generator Loss: 1.3633
Epoch 1/5: steps 1970 Discriminator Loss: 0.8122... Generator Loss: 1.0529
Epoch 1/5: steps 1980 Discriminator Loss: 0.8299... Generator Loss: 1.3393
Epoch 1/5: steps 1990 Discriminator Loss: 0.9517... Generator Loss: 0.9226
Epoch 1/5: steps 2000 Discriminator Loss: 1.1059... Generator Loss: 1.5172
Epoch 1/5: steps 2010 Discriminator Loss: 0.8265... Generator Loss: 1.3338
Epoch 1/5: steps 2020 Discriminator Loss: 0.8835... Generator Loss: 1.2438
Epoch 1/5: steps 2030 Discriminator Loss: 0.6896... Generator Loss: 1.5676
Epoch 1/5: steps 2040 Discriminator Loss: 0.8274... Generator Loss: 1.0837
Epoch 1/5: steps 2050 Discriminator Loss: 2.1055... Generator Loss: 0.9323
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Epoch 1/5: steps 2160 Discriminator Loss: 0.8488... Generator Loss: 1.6010
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Epoch 1/5: steps 2550 Discriminator Loss: 1.5234... Generator Loss: 2.1268
Epoch 1/5: steps 2560 Discriminator Loss: 1.0437... Generator Loss: 1.1740
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Epoch 1/5: steps 2710 Discriminator Loss: 0.9090... Generator Loss: 1.2326
Epoch 1/5: steps 2720 Discriminator Loss: 1.1263... Generator Loss: 0.9125
Epoch 1/5: steps 2730 Discriminator Loss: 1.1546... Generator Loss: 0.8710
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Epoch 1/5: steps 2750 Discriminator Loss: 0.9631... Generator Loss: 0.8769
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Epoch 1/5: steps 2770 Discriminator Loss: 1.0388... Generator Loss: 0.9868
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Epoch 1/5: steps 2790 Discriminator Loss: 1.0503... Generator Loss: 0.9005
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Epoch 1/5: steps 2810 Discriminator Loss: 0.9310... Generator Loss: 1.2207
Epoch 1/5: steps 2820 Discriminator Loss: 1.0302... Generator Loss: 0.9448
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Epoch 1/5: steps 2870 Discriminator Loss: 0.8863... Generator Loss: 1.2796
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Epoch 1/5: steps 2910 Discriminator Loss: 1.0492... Generator Loss: 0.9054
Epoch 1/5: steps 2920 Discriminator Loss: 0.9216... Generator Loss: 1.3683
Epoch 1/5: steps 2930 Discriminator Loss: 0.9253... Generator Loss: 1.4036
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Epoch 1/5: steps 2950 Discriminator Loss: 1.0726... Generator Loss: 1.1738
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Epoch 1/5: steps 2970 Discriminator Loss: 1.0005... Generator Loss: 1.1842
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Epoch 1/5: steps 2990 Discriminator Loss: 0.9745... Generator Loss: 1.3319
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Epoch 1/5: steps 3010 Discriminator Loss: 1.2315... Generator Loss: 0.7986
Epoch 1/5: steps 3020 Discriminator Loss: 1.0439... Generator Loss: 0.9808
Epoch 1/5: steps 3030 Discriminator Loss: 1.1482... Generator Loss: 0.9569
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Epoch 1/5: steps 3050 Discriminator Loss: 0.9641... Generator Loss: 1.0761
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Epoch 1/5: steps 3070 Discriminator Loss: 1.0473... Generator Loss: 1.1858
Epoch 1/5: steps 3080 Discriminator Loss: 0.9647... Generator Loss: 1.1380
Epoch 1/5: steps 3090 Discriminator Loss: 0.8903... Generator Loss: 1.1073
Epoch 1/5: steps 3100 Discriminator Loss: 1.0502... Generator Loss: 0.9545
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Epoch 1/5: steps 3120 Discriminator Loss: 1.0542... Generator Loss: 1.0757
Epoch 1/5: steps 3130 Discriminator Loss: 0.9085... Generator Loss: 1.1598
Epoch 1/5: steps 3140 Discriminator Loss: 0.8577... Generator Loss: 1.4509
Epoch 1/5: steps 3150 Discriminator Loss: 1.0505... Generator Loss: 0.9161
Epoch 1/5: steps 3160 Discriminator Loss: 0.9571... Generator Loss: 0.9476
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Epoch 2/5: steps 20 Discriminator Loss: 0.9089... Generator Loss: 1.0309
Epoch 2/5: steps 30 Discriminator Loss: 0.9648... Generator Loss: 0.9539
Epoch 2/5: steps 40 Discriminator Loss: 1.0128... Generator Loss: 1.3739
Epoch 2/5: steps 50 Discriminator Loss: 0.9731... Generator Loss: 1.2394
Epoch 2/5: steps 60 Discriminator Loss: 1.0640... Generator Loss: 1.1633
Epoch 2/5: steps 70 Discriminator Loss: 1.0442... Generator Loss: 0.9452
Epoch 2/5: steps 80 Discriminator Loss: 1.0961... Generator Loss: 1.1855
Epoch 2/5: steps 90 Discriminator Loss: 1.0631... Generator Loss: 1.1375
Epoch 2/5: steps 100 Discriminator Loss: 1.0723... Generator Loss: 0.9448
Epoch 2/5: steps 110 Discriminator Loss: 3.0456... Generator Loss: 3.6715
Epoch 2/5: steps 120 Discriminator Loss: 1.1878... Generator Loss: 0.8886
Epoch 2/5: steps 130 Discriminator Loss: 1.0612... Generator Loss: 1.0380
Epoch 2/5: steps 140 Discriminator Loss: 0.9800... Generator Loss: 1.2457
Epoch 2/5: steps 150 Discriminator Loss: 1.0058... Generator Loss: 1.2075
Epoch 2/5: steps 160 Discriminator Loss: 0.8951... Generator Loss: 1.4459
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Epoch 2/5: steps 180 Discriminator Loss: 1.0242... Generator Loss: 0.9555
Epoch 2/5: steps 190 Discriminator Loss: 0.9894... Generator Loss: 1.0599
Epoch 2/5: steps 200 Discriminator Loss: 1.0931... Generator Loss: 0.8677
Epoch 2/5: steps 210 Discriminator Loss: 1.1787... Generator Loss: 1.1793
Epoch 2/5: steps 220 Discriminator Loss: 1.0963... Generator Loss: 0.9211
Epoch 2/5: steps 230 Discriminator Loss: 1.0963... Generator Loss: 0.9769
Epoch 2/5: steps 240 Discriminator Loss: 1.0181... Generator Loss: 1.1393
Epoch 2/5: steps 250 Discriminator Loss: 1.1949... Generator Loss: 0.7207
Epoch 2/5: steps 260 Discriminator Loss: 1.0530... Generator Loss: 1.0139
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Epoch 2/5: steps 280 Discriminator Loss: 1.0185... Generator Loss: 1.1123
Epoch 2/5: steps 290 Discriminator Loss: 0.8713... Generator Loss: 1.4731
Epoch 2/5: steps 300 Discriminator Loss: 1.0988... Generator Loss: 1.0868
Epoch 2/5: steps 310 Discriminator Loss: 0.9443... Generator Loss: 1.1756
Epoch 2/5: steps 320 Discriminator Loss: 0.9673... Generator Loss: 1.0369
Epoch 2/5: steps 330 Discriminator Loss: 1.0226... Generator Loss: 0.7214
Epoch 2/5: steps 340 Discriminator Loss: 1.1452... Generator Loss: 0.9638
Epoch 2/5: steps 350 Discriminator Loss: 1.0417... Generator Loss: 1.1911
Epoch 2/5: steps 360 Discriminator Loss: 1.0059... Generator Loss: 0.9069
Epoch 2/5: steps 370 Discriminator Loss: 1.0774... Generator Loss: 1.1252
Epoch 2/5: steps 380 Discriminator Loss: 0.8755... Generator Loss: 1.2493
Epoch 2/5: steps 390 Discriminator Loss: 1.2082... Generator Loss: 1.0348
Epoch 2/5: steps 400 Discriminator Loss: 1.0973... Generator Loss: 0.9458
Epoch 2/5: steps 410 Discriminator Loss: 1.0749... Generator Loss: 0.9217
Epoch 2/5: steps 420 Discriminator Loss: 0.9351... Generator Loss: 1.3273
Epoch 2/5: steps 430 Discriminator Loss: 1.1782... Generator Loss: 1.1621
Epoch 2/5: steps 440 Discriminator Loss: 1.1261... Generator Loss: 0.8610
Epoch 2/5: steps 450 Discriminator Loss: 1.0176... Generator Loss: 1.0962
Epoch 2/5: steps 460 Discriminator Loss: 1.0881... Generator Loss: 0.9081
Epoch 2/5: steps 470 Discriminator Loss: 0.9345... Generator Loss: 1.1950
Epoch 2/5: steps 480 Discriminator Loss: 1.1722... Generator Loss: 1.2263
Epoch 2/5: steps 490 Discriminator Loss: 1.0826... Generator Loss: 1.0263
Epoch 2/5: steps 500 Discriminator Loss: 0.7970... Generator Loss: 1.9242
Epoch 2/5: steps 510 Discriminator Loss: 1.1403... Generator Loss: 0.9996
Epoch 2/5: steps 520 Discriminator Loss: 1.0595... Generator Loss: 1.0553
Epoch 2/5: steps 530 Discriminator Loss: 0.9668... Generator Loss: 1.6110
Epoch 2/5: steps 540 Discriminator Loss: 0.9805... Generator Loss: 0.9978
Epoch 2/5: steps 550 Discriminator Loss: 1.0879... Generator Loss: 0.9124
Epoch 2/5: steps 560 Discriminator Loss: 1.0406... Generator Loss: 0.8122
Epoch 2/5: steps 570 Discriminator Loss: 1.0343... Generator Loss: 0.9132
Epoch 2/5: steps 580 Discriminator Loss: 1.7881... Generator Loss: 1.8113
Epoch 2/5: steps 590 Discriminator Loss: 1.1026... Generator Loss: 0.9518
Epoch 2/5: steps 600 Discriminator Loss: 1.1224... Generator Loss: 1.0254
Epoch 2/5: steps 610 Discriminator Loss: 1.1319... Generator Loss: 0.9554
Epoch 2/5: steps 620 Discriminator Loss: 1.1312... Generator Loss: 1.0007
Epoch 2/5: steps 630 Discriminator Loss: 1.1061... Generator Loss: 0.8859
Epoch 2/5: steps 640 Discriminator Loss: 1.1834... Generator Loss: 0.8839
Epoch 2/5: steps 650 Discriminator Loss: 1.0110... Generator Loss: 1.1787
Epoch 2/5: steps 660 Discriminator Loss: 1.0788... Generator Loss: 1.2425
Epoch 2/5: steps 670 Discriminator Loss: 1.0342... Generator Loss: 1.0103
Epoch 2/5: steps 680 Discriminator Loss: 1.0954... Generator Loss: 0.8673
Epoch 2/5: steps 690 Discriminator Loss: 1.1233... Generator Loss: 1.1648
Epoch 2/5: steps 700 Discriminator Loss: 1.0804... Generator Loss: 1.0673
Epoch 2/5: steps 710 Discriminator Loss: 1.0386... Generator Loss: 1.1368
Epoch 2/5: steps 720 Discriminator Loss: 1.0726... Generator Loss: 0.9059
Epoch 2/5: steps 730 Discriminator Loss: 1.1784... Generator Loss: 0.8919
Epoch 2/5: steps 740 Discriminator Loss: 1.0021... Generator Loss: 1.0229
Epoch 2/5: steps 750 Discriminator Loss: 1.0138... Generator Loss: 1.3893
Epoch 2/5: steps 760 Discriminator Loss: 0.9063... Generator Loss: 1.3921
Epoch 2/5: steps 770 Discriminator Loss: 0.9828... Generator Loss: 1.0859
Epoch 2/5: steps 780 Discriminator Loss: 1.0399... Generator Loss: 1.1234
Epoch 2/5: steps 790 Discriminator Loss: 0.9523... Generator Loss: 1.4954
Epoch 2/5: steps 800 Discriminator Loss: 1.0931... Generator Loss: 1.0389
Epoch 2/5: steps 810 Discriminator Loss: 1.1590... Generator Loss: 1.0617
Epoch 2/5: steps 820 Discriminator Loss: 1.0195... Generator Loss: 0.8695
Epoch 2/5: steps 830 Discriminator Loss: 1.0365... Generator Loss: 0.9659
Epoch 2/5: steps 840 Discriminator Loss: 1.0653... Generator Loss: 0.9926
Epoch 2/5: steps 850 Discriminator Loss: 0.9614... Generator Loss: 1.2858
Epoch 2/5: steps 860 Discriminator Loss: 1.1676... Generator Loss: 0.9887
Epoch 2/5: steps 870 Discriminator Loss: 1.5824... Generator Loss: 1.8110
Epoch 2/5: steps 880 Discriminator Loss: 1.0776... Generator Loss: 0.8602
Epoch 2/5: steps 890 Discriminator Loss: 1.1405... Generator Loss: 0.9194
Epoch 2/5: steps 900 Discriminator Loss: 1.1150... Generator Loss: 0.8233
Epoch 2/5: steps 910 Discriminator Loss: 1.0203... Generator Loss: 0.9643
Epoch 2/5: steps 920 Discriminator Loss: 1.1321... Generator Loss: 0.7253
Epoch 2/5: steps 930 Discriminator Loss: 1.1296... Generator Loss: 0.9984
Epoch 2/5: steps 940 Discriminator Loss: 1.0927... Generator Loss: 0.9222
Epoch 2/5: steps 950 Discriminator Loss: 1.0108... Generator Loss: 1.1808
Epoch 2/5: steps 960 Discriminator Loss: 1.1047... Generator Loss: 1.0124
Epoch 2/5: steps 970 Discriminator Loss: 1.1749... Generator Loss: 0.8302
Epoch 2/5: steps 980 Discriminator Loss: 1.0707... Generator Loss: 0.9576
Epoch 2/5: steps 990 Discriminator Loss: 1.1004... Generator Loss: 1.1854
Epoch 2/5: steps 1000 Discriminator Loss: 1.1337... Generator Loss: 0.9296
Epoch 2/5: steps 1010 Discriminator Loss: 0.9925... Generator Loss: 1.1322
Epoch 2/5: steps 1020 Discriminator Loss: 1.3057... Generator Loss: 0.7724
Epoch 2/5: steps 1030 Discriminator Loss: 1.1334... Generator Loss: 0.7906
Epoch 2/5: steps 1040 Discriminator Loss: 1.0217... Generator Loss: 1.2006
Epoch 2/5: steps 1050 Discriminator Loss: 0.9193... Generator Loss: 1.1025
Epoch 2/5: steps 1060 Discriminator Loss: 0.9986... Generator Loss: 1.0013
Epoch 2/5: steps 1070 Discriminator Loss: 1.0753... Generator Loss: 1.0681
Epoch 2/5: steps 1080 Discriminator Loss: 1.0625... Generator Loss: 0.9943
Epoch 2/5: steps 1090 Discriminator Loss: 1.1039... Generator Loss: 0.9702
Epoch 2/5: steps 1100 Discriminator Loss: 0.8976... Generator Loss: 1.3294
Epoch 2/5: steps 1110 Discriminator Loss: 1.2375... Generator Loss: 0.9416
Epoch 2/5: steps 1120 Discriminator Loss: 1.0151... Generator Loss: 1.3003
Epoch 2/5: steps 1130 Discriminator Loss: 0.9982... Generator Loss: 0.9342
Epoch 2/5: steps 1140 Discriminator Loss: 0.9687... Generator Loss: 1.1147
Epoch 2/5: steps 1150 Discriminator Loss: 1.0940... Generator Loss: 1.0219
Epoch 2/5: steps 1160 Discriminator Loss: 0.9490... Generator Loss: 1.2876
Epoch 2/5: steps 1170 Discriminator Loss: 1.1351... Generator Loss: 1.1651
Epoch 2/5: steps 1180 Discriminator Loss: 1.1168... Generator Loss: 0.9185
Epoch 2/5: steps 1190 Discriminator Loss: 1.0765... Generator Loss: 1.0936
Epoch 2/5: steps 1200 Discriminator Loss: 0.9922... Generator Loss: 0.8665
Epoch 2/5: steps 1210 Discriminator Loss: 1.0865... Generator Loss: 1.0124
Epoch 2/5: steps 1220 Discriminator Loss: 0.8451... Generator Loss: 1.5676
Epoch 2/5: steps 1230 Discriminator Loss: 1.1435... Generator Loss: 0.8553
Epoch 2/5: steps 1240 Discriminator Loss: 1.1520... Generator Loss: 1.0540
Epoch 2/5: steps 1250 Discriminator Loss: 0.9916... Generator Loss: 1.0568
Epoch 2/5: steps 1260 Discriminator Loss: 1.0413... Generator Loss: 0.9512
Epoch 2/5: steps 1270 Discriminator Loss: 1.0855... Generator Loss: 1.1726
Epoch 2/5: steps 1280 Discriminator Loss: 1.0154... Generator Loss: 0.8500
Epoch 2/5: steps 1290 Discriminator Loss: 1.2460... Generator Loss: 1.3605
Epoch 2/5: steps 1300 Discriminator Loss: 1.1871... Generator Loss: 0.9588
Epoch 2/5: steps 1310 Discriminator Loss: 1.0435... Generator Loss: 1.1110
Epoch 2/5: steps 1320 Discriminator Loss: 1.0858... Generator Loss: 1.0787
Epoch 2/5: steps 1330 Discriminator Loss: 0.9503... Generator Loss: 1.1999
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Epoch 2/5: steps 1370 Discriminator Loss: 1.0615... Generator Loss: 1.0074
Epoch 2/5: steps 1380 Discriminator Loss: 1.1485... Generator Loss: 0.9712
Epoch 2/5: steps 1390 Discriminator Loss: 0.9966... Generator Loss: 0.9826
Epoch 2/5: steps 1400 Discriminator Loss: 0.8796... Generator Loss: 1.4517
Epoch 2/5: steps 1410 Discriminator Loss: 1.0986... Generator Loss: 1.0521
Epoch 2/5: steps 1420 Discriminator Loss: 1.1021... Generator Loss: 0.8807
Epoch 2/5: steps 1430 Discriminator Loss: 1.2716... Generator Loss: 1.1563
Epoch 2/5: steps 1440 Discriminator Loss: 1.1129... Generator Loss: 0.7443
Epoch 2/5: steps 1450 Discriminator Loss: 1.1086... Generator Loss: 0.9842
Epoch 2/5: steps 1460 Discriminator Loss: 1.0292... Generator Loss: 0.8766
Epoch 2/5: steps 1470 Discriminator Loss: 1.0987... Generator Loss: 0.9130
Epoch 2/5: steps 1480 Discriminator Loss: 1.0725... Generator Loss: 1.0647
Epoch 2/5: steps 1490 Discriminator Loss: 1.0478... Generator Loss: 0.9048
Epoch 2/5: steps 1500 Discriminator Loss: 1.2075... Generator Loss: 0.7230
Epoch 2/5: steps 1510 Discriminator Loss: 1.1982... Generator Loss: 0.9728
Epoch 2/5: steps 1520 Discriminator Loss: 0.9461... Generator Loss: 1.4512
Epoch 2/5: steps 1530 Discriminator Loss: 0.7667... Generator Loss: 1.4456
Epoch 2/5: steps 1540 Discriminator Loss: 2.2503... Generator Loss: 2.2863
Epoch 2/5: steps 1550 Discriminator Loss: 1.3503... Generator Loss: 0.7886
Epoch 2/5: steps 1560 Discriminator Loss: 1.1599... Generator Loss: 0.8844
Epoch 2/5: steps 1570 Discriminator Loss: 1.0857... Generator Loss: 0.8434
Epoch 2/5: steps 1580 Discriminator Loss: 1.0826... Generator Loss: 1.0018
Epoch 2/5: steps 1590 Discriminator Loss: 1.1283... Generator Loss: 0.9759
Epoch 2/5: steps 1600 Discriminator Loss: 1.0111... Generator Loss: 0.9273
Epoch 2/5: steps 1610 Discriminator Loss: 1.1421... Generator Loss: 0.9763
Epoch 2/5: steps 1620 Discriminator Loss: 1.0269... Generator Loss: 1.1584
Epoch 2/5: steps 1630 Discriminator Loss: 1.1810... Generator Loss: 1.0005
Epoch 2/5: steps 1640 Discriminator Loss: 1.1050... Generator Loss: 1.0101
Epoch 2/5: steps 1650 Discriminator Loss: 1.1787... Generator Loss: 0.8538
Epoch 2/5: steps 1660 Discriminator Loss: 1.0444... Generator Loss: 1.0301
Epoch 2/5: steps 1670 Discriminator Loss: 1.1330... Generator Loss: 0.8816
Epoch 2/5: steps 1680 Discriminator Loss: 1.1359... Generator Loss: 1.0319
Epoch 2/5: steps 1690 Discriminator Loss: 1.0212... Generator Loss: 0.9861
Epoch 2/5: steps 1700 Discriminator Loss: 1.0600... Generator Loss: 1.1594
Epoch 2/5: steps 1710 Discriminator Loss: 1.1246... Generator Loss: 1.4169
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Epoch 3/5: steps 20 Discriminator Loss: 1.0272... Generator Loss: 0.8997
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Epoch 5/5: steps 790 Discriminator Loss: 1.3313... Generator Loss: 0.7388
Epoch 5/5: steps 800 Discriminator Loss: 1.3182... Generator Loss: 0.9906
Epoch 5/5: steps 810 Discriminator Loss: 1.2409... Generator Loss: 0.8325
Epoch 5/5: steps 820 Discriminator Loss: 1.2002... Generator Loss: 0.8787
Epoch 5/5: steps 830 Discriminator Loss: 1.2499... Generator Loss: 0.8761
Epoch 5/5: steps 840 Discriminator Loss: 1.3032... Generator Loss: 1.0228
Epoch 5/5: steps 850 Discriminator Loss: 1.1920... Generator Loss: 0.7910
Epoch 5/5: steps 860 Discriminator Loss: 1.2789... Generator Loss: 0.7735
Epoch 5/5: steps 870 Discriminator Loss: 1.1839... Generator Loss: 0.8891
Epoch 5/5: steps 880 Discriminator Loss: 1.2066... Generator Loss: 0.8713
Epoch 5/5: steps 890 Discriminator Loss: 1.3821... Generator Loss: 0.7659
Epoch 5/5: steps 900 Discriminator Loss: 1.1485... Generator Loss: 0.8072
Epoch 5/5: steps 910 Discriminator Loss: 1.2011... Generator Loss: 0.9359
Epoch 5/5: steps 920 Discriminator Loss: 1.2509... Generator Loss: 0.8109
Epoch 5/5: steps 930 Discriminator Loss: 1.2086... Generator Loss: 0.7915
Epoch 5/5: steps 940 Discriminator Loss: 1.2781... Generator Loss: 0.7904
Epoch 5/5: steps 950 Discriminator Loss: 1.2440... Generator Loss: 0.8433
Epoch 5/5: steps 960 Discriminator Loss: 1.1905... Generator Loss: 0.8424
Epoch 5/5: steps 970 Discriminator Loss: 1.3048... Generator Loss: 0.7922
Epoch 5/5: steps 980 Discriminator Loss: 1.2642... Generator Loss: 0.8807
Epoch 5/5: steps 990 Discriminator Loss: 1.3406... Generator Loss: 0.7702
Epoch 5/5: steps 1000 Discriminator Loss: 1.2968... Generator Loss: 0.8084
Epoch 5/5: steps 1010 Discriminator Loss: 1.2290... Generator Loss: 0.7910
Epoch 5/5: steps 1020 Discriminator Loss: 1.1247... Generator Loss: 0.9359
Epoch 5/5: steps 1030 Discriminator Loss: 1.2714... Generator Loss: 0.8345
Epoch 5/5: steps 1040 Discriminator Loss: 1.2943... Generator Loss: 0.8131
Epoch 5/5: steps 1050 Discriminator Loss: 1.2976... Generator Loss: 0.8399
Epoch 5/5: steps 1060 Discriminator Loss: 1.2907... Generator Loss: 0.8275
Epoch 5/5: steps 1070 Discriminator Loss: 1.2476... Generator Loss: 0.8991
Epoch 5/5: steps 1080 Discriminator Loss: 1.2366... Generator Loss: 0.8263
Epoch 5/5: steps 1090 Discriminator Loss: 1.3261... Generator Loss: 0.8010
Epoch 5/5: steps 1100 Discriminator Loss: 1.1997... Generator Loss: 0.8319
Epoch 5/5: steps 1110 Discriminator Loss: 1.2959... Generator Loss: 0.7552
Epoch 5/5: steps 1120 Discriminator Loss: 1.2408... Generator Loss: 0.8515
Epoch 5/5: steps 1130 Discriminator Loss: 1.3133... Generator Loss: 0.8141
Epoch 5/5: steps 1140 Discriminator Loss: 1.2953... Generator Loss: 0.8873
Epoch 5/5: steps 1150 Discriminator Loss: 1.2690... Generator Loss: 0.9273
Epoch 5/5: steps 1160 Discriminator Loss: 1.3057... Generator Loss: 0.9310
Epoch 5/5: steps 1170 Discriminator Loss: 1.2554... Generator Loss: 0.7609
Epoch 5/5: steps 1180 Discriminator Loss: 1.2984... Generator Loss: 0.7476
Epoch 5/5: steps 1190 Discriminator Loss: 1.2116... Generator Loss: 0.8781
Epoch 5/5: steps 1200 Discriminator Loss: 1.2001... Generator Loss: 1.0048
Epoch 5/5: steps 1210 Discriminator Loss: 1.1824... Generator Loss: 0.8867
Epoch 5/5: steps 1220 Discriminator Loss: 1.1831... Generator Loss: 0.9371
Epoch 5/5: steps 1230 Discriminator Loss: 1.2350... Generator Loss: 0.8697
Epoch 5/5: steps 1240 Discriminator Loss: 1.2489... Generator Loss: 0.8597
Epoch 5/5: steps 1250 Discriminator Loss: 1.3222... Generator Loss: 0.8933
Epoch 5/5: steps 1260 Discriminator Loss: 1.3218... Generator Loss: 0.7887
Epoch 5/5: steps 1270 Discriminator Loss: 1.2048... Generator Loss: 0.9058
Epoch 5/5: steps 1280 Discriminator Loss: 1.3435... Generator Loss: 0.8035
Epoch 5/5: steps 1290 Discriminator Loss: 1.2725... Generator Loss: 0.8150
Epoch 5/5: steps 1300 Discriminator Loss: 1.3564... Generator Loss: 0.8841
Epoch 5/5: steps 1310 Discriminator Loss: 1.3483... Generator Loss: 0.7987
Epoch 5/5: steps 1320 Discriminator Loss: 1.2783... Generator Loss: 1.0231
Epoch 5/5: steps 1330 Discriminator Loss: 1.2015... Generator Loss: 0.8961
Epoch 5/5: steps 1340 Discriminator Loss: 1.3368... Generator Loss: 0.7939
Epoch 5/5: steps 1350 Discriminator Loss: 1.2143... Generator Loss: 0.7735
Epoch 5/5: steps 1360 Discriminator Loss: 1.3205... Generator Loss: 1.0277
Epoch 5/5: steps 1370 Discriminator Loss: 1.3439... Generator Loss: 0.8768
Epoch 5/5: steps 1380 Discriminator Loss: 1.2625... Generator Loss: 0.7949
Epoch 5/5: steps 1390 Discriminator Loss: 1.1865... Generator Loss: 0.7990
Epoch 5/5: steps 1400 Discriminator Loss: 1.2515... Generator Loss: 0.8589
Epoch 5/5: steps 1410 Discriminator Loss: 1.3024... Generator Loss: 0.8059
Epoch 5/5: steps 1420 Discriminator Loss: 1.3236... Generator Loss: 0.8182
Epoch 5/5: steps 1430 Discriminator Loss: 1.2999... Generator Loss: 0.7875
Epoch 5/5: steps 1440 Discriminator Loss: 1.3236... Generator Loss: 0.8343
Epoch 5/5: steps 1450 Discriminator Loss: 1.2148... Generator Loss: 0.9418
Epoch 5/5: steps 1460 Discriminator Loss: 1.2845... Generator Loss: 0.8105
Epoch 5/5: steps 1470 Discriminator Loss: 1.2522... Generator Loss: 0.7611
Epoch 5/5: steps 1480 Discriminator Loss: 1.1997... Generator Loss: 0.8308
Epoch 5/5: steps 1490 Discriminator Loss: 1.3233... Generator Loss: 0.8422
Epoch 5/5: steps 1500 Discriminator Loss: 1.2862... Generator Loss: 0.8033
Epoch 5/5: steps 1510 Discriminator Loss: 1.2421... Generator Loss: 0.8326
Epoch 5/5: steps 1520 Discriminator Loss: 1.2225... Generator Loss: 0.9029
Epoch 5/5: steps 1530 Discriminator Loss: 1.2354... Generator Loss: 0.8879
Epoch 5/5: steps 1540 Discriminator Loss: 1.3094... Generator Loss: 1.0017
Epoch 5/5: steps 1550 Discriminator Loss: 1.3761... Generator Loss: 0.8935
Epoch 5/5: steps 1560 Discriminator Loss: 1.2756... Generator Loss: 0.9449
Epoch 5/5: steps 1570 Discriminator Loss: 1.2031... Generator Loss: 0.7649
Epoch 5/5: steps 1580 Discriminator Loss: 1.2583... Generator Loss: 0.7692
Epoch 5/5: steps 1590 Discriminator Loss: 1.2564... Generator Loss: 0.7615
Epoch 5/5: steps 1600 Discriminator Loss: 1.2081... Generator Loss: 0.8346
Epoch 5/5: steps 1610 Discriminator Loss: 1.2672... Generator Loss: 0.8893
Epoch 5/5: steps 1620 Discriminator Loss: 1.2680... Generator Loss: 0.8753
Epoch 5/5: steps 1630 Discriminator Loss: 1.3189... Generator Loss: 0.8385
Epoch 5/5: steps 1640 Discriminator Loss: 1.2666... Generator Loss: 0.8304
Epoch 5/5: steps 1650 Discriminator Loss: 1.2404... Generator Loss: 0.8038
Epoch 5/5: steps 1660 Discriminator Loss: 1.3354... Generator Loss: 0.9302
Epoch 5/5: steps 1670 Discriminator Loss: 1.2408... Generator Loss: 0.8488
Epoch 5/5: steps 1680 Discriminator Loss: 1.2940... Generator Loss: 0.7738
Epoch 5/5: steps 1690 Discriminator Loss: 1.2379... Generator Loss: 0.8724
Epoch 5/5: steps 1700 Discriminator Loss: 1.2346... Generator Loss: 0.8135
Epoch 5/5: steps 1710 Discriminator Loss: 1.2312... Generator Loss: 0.9301
Epoch 5/5: steps 1720 Discriminator Loss: 1.2151... Generator Loss: 0.8558
Epoch 5/5: steps 1730 Discriminator Loss: 1.2146... Generator Loss: 0.8440
Epoch 5/5: steps 1740 Discriminator Loss: 1.3369... Generator Loss: 0.7900
Epoch 5/5: steps 1750 Discriminator Loss: 1.2640... Generator Loss: 0.7974
Epoch 5/5: steps 1760 Discriminator Loss: 1.2449... Generator Loss: 0.9209
Epoch 5/5: steps 1770 Discriminator Loss: 1.1730... Generator Loss: 0.7265
Epoch 5/5: steps 1780 Discriminator Loss: 1.3543... Generator Loss: 0.8019
Epoch 5/5: steps 1790 Discriminator Loss: 1.2515... Generator Loss: 0.7860
Epoch 5/5: steps 1800 Discriminator Loss: 1.3380... Generator Loss: 0.8995
Epoch 5/5: steps 1810 Discriminator Loss: 1.2652... Generator Loss: 0.8014
Epoch 5/5: steps 1820 Discriminator Loss: 1.2527... Generator Loss: 0.7476
Epoch 5/5: steps 1830 Discriminator Loss: 1.1533... Generator Loss: 0.8209
Epoch 5/5: steps 1840 Discriminator Loss: 1.2602... Generator Loss: 0.8133
Epoch 5/5: steps 1850 Discriminator Loss: 1.1874... Generator Loss: 0.8410
Epoch 5/5: steps 1860 Discriminator Loss: 1.2920... Generator Loss: 0.7321
Epoch 5/5: steps 1870 Discriminator Loss: 1.2916... Generator Loss: 0.8098
Epoch 5/5: steps 1880 Discriminator Loss: 1.2583... Generator Loss: 0.8001
Epoch 5/5: steps 1890 Discriminator Loss: 1.2503... Generator Loss: 0.8932
Epoch 5/5: steps 1900 Discriminator Loss: 1.2880... Generator Loss: 0.8714
Epoch 5/5: steps 1910 Discriminator Loss: 1.2736... Generator Loss: 0.8351
Epoch 5/5: steps 1920 Discriminator Loss: 1.3171... Generator Loss: 0.8543
Epoch 5/5: steps 1930 Discriminator Loss: 1.2347... Generator Loss: 0.8005
Epoch 5/5: steps 1940 Discriminator Loss: 1.2754... Generator Loss: 0.8741
Epoch 5/5: steps 1950 Discriminator Loss: 1.2918... Generator Loss: 0.7896
Epoch 5/5: steps 1960 Discriminator Loss: 1.2623... Generator Loss: 0.8101
Epoch 5/5: steps 1970 Discriminator Loss: 1.2138... Generator Loss: 0.8832
Epoch 5/5: steps 1980 Discriminator Loss: 1.2220... Generator Loss: 0.7669
Epoch 5/5: steps 1990 Discriminator Loss: 1.2065... Generator Loss: 0.8931
Epoch 5/5: steps 2000 Discriminator Loss: 1.2230... Generator Loss: 0.8193
Epoch 5/5: steps 2010 Discriminator Loss: 1.2003... Generator Loss: 0.9030
Epoch 5/5: steps 2020 Discriminator Loss: 1.3480... Generator Loss: 0.8050
Epoch 5/5: steps 2030 Discriminator Loss: 1.1766... Generator Loss: 0.8440
Epoch 5/5: steps 2040 Discriminator Loss: 1.2873... Generator Loss: 0.8141
Epoch 5/5: steps 2050 Discriminator Loss: 1.2233... Generator Loss: 0.8807
Epoch 5/5: steps 2060 Discriminator Loss: 1.2299... Generator Loss: 0.8722
Epoch 5/5: steps 2070 Discriminator Loss: 1.3051... Generator Loss: 0.8981
Epoch 5/5: steps 2080 Discriminator Loss: 1.1994... Generator Loss: 0.8258
Epoch 5/5: steps 2090 Discriminator Loss: 1.1723... Generator Loss: 0.8065
Epoch 5/5: steps 2100 Discriminator Loss: 1.2240... Generator Loss: 0.7806
Epoch 5/5: steps 2110 Discriminator Loss: 1.2218... Generator Loss: 0.8823
Epoch 5/5: steps 2120 Discriminator Loss: 1.2842... Generator Loss: 0.7304
Epoch 5/5: steps 2130 Discriminator Loss: 1.3379... Generator Loss: 0.8884
Epoch 5/5: steps 2140 Discriminator Loss: 1.2679... Generator Loss: 0.8161
Epoch 5/5: steps 2150 Discriminator Loss: 1.1894... Generator Loss: 0.8844
Epoch 5/5: steps 2160 Discriminator Loss: 1.2864... Generator Loss: 0.8943
Epoch 5/5: steps 2170 Discriminator Loss: 1.1655... Generator Loss: 0.9262
Epoch 5/5: steps 2180 Discriminator Loss: 1.1849... Generator Loss: 1.0414
Epoch 5/5: steps 2190 Discriminator Loss: 1.2017... Generator Loss: 0.9664
Epoch 5/5: steps 2200 Discriminator Loss: 1.3422... Generator Loss: 0.7801
Epoch 5/5: steps 2210 Discriminator Loss: 1.1587... Generator Loss: 0.7848
Epoch 5/5: steps 2220 Discriminator Loss: 1.3389... Generator Loss: 0.9032
Epoch 5/5: steps 2230 Discriminator Loss: 1.2417... Generator Loss: 0.7283
Epoch 5/5: steps 2240 Discriminator Loss: 1.2292... Generator Loss: 0.7419
Epoch 5/5: steps 2250 Discriminator Loss: 1.2320... Generator Loss: 0.8047
Epoch 5/5: steps 2260 Discriminator Loss: 1.2835... Generator Loss: 0.7885
Epoch 5/5: steps 2270 Discriminator Loss: 1.1922... Generator Loss: 0.8882
Epoch 5/5: steps 2280 Discriminator Loss: 1.2853... Generator Loss: 0.8875
Epoch 5/5: steps 2290 Discriminator Loss: 1.2697... Generator Loss: 0.7753
Epoch 5/5: steps 2300 Discriminator Loss: 1.2379... Generator Loss: 0.8155
Epoch 5/5: steps 2310 Discriminator Loss: 1.2802... Generator Loss: 0.7753
Epoch 5/5: steps 2320 Discriminator Loss: 1.2958... Generator Loss: 0.8306
Epoch 5/5: steps 2330 Discriminator Loss: 1.2673... Generator Loss: 0.9220
Epoch 5/5: steps 2340 Discriminator Loss: 1.2699... Generator Loss: 0.7999
Epoch 5/5: steps 2350 Discriminator Loss: 1.2312... Generator Loss: 0.7555
Epoch 5/5: steps 2360 Discriminator Loss: 1.1186... Generator Loss: 0.8781
Epoch 5/5: steps 2370 Discriminator Loss: 1.2265... Generator Loss: 0.7659
Epoch 5/5: steps 2380 Discriminator Loss: 1.3353... Generator Loss: 0.8512
Epoch 5/5: steps 2390 Discriminator Loss: 1.3053... Generator Loss: 0.8733
Epoch 5/5: steps 2400 Discriminator Loss: 1.1566... Generator Loss: 0.8465
Epoch 5/5: steps 2410 Discriminator Loss: 1.2491... Generator Loss: 0.9140
Epoch 5/5: steps 2420 Discriminator Loss: 1.2911... Generator Loss: 0.7821
Epoch 5/5: steps 2430 Discriminator Loss: 1.2513... Generator Loss: 0.7686
Epoch 5/5: steps 2440 Discriminator Loss: 1.2637... Generator Loss: 0.8193
Epoch 5/5: steps 2450 Discriminator Loss: 1.2709... Generator Loss: 0.8311
Epoch 5/5: steps 2460 Discriminator Loss: 1.3026... Generator Loss: 0.8837
Epoch 5/5: steps 2470 Discriminator Loss: 1.1826... Generator Loss: 0.7793
Epoch 5/5: steps 2480 Discriminator Loss: 1.2028... Generator Loss: 0.9382
Epoch 5/5: steps 2490 Discriminator Loss: 1.2665... Generator Loss: 0.8479
Epoch 5/5: steps 2500 Discriminator Loss: 1.3138... Generator Loss: 0.8159
Epoch 5/5: steps 2510 Discriminator Loss: 1.2120... Generator Loss: 0.7802
Epoch 5/5: steps 2520 Discriminator Loss: 1.1927... Generator Loss: 0.7935
Epoch 5/5: steps 2530 Discriminator Loss: 1.2185... Generator Loss: 0.8532
Epoch 5/5: steps 2540 Discriminator Loss: 1.2211... Generator Loss: 0.9653
Epoch 5/5: steps 2550 Discriminator Loss: 1.1974... Generator Loss: 0.9718
Epoch 5/5: steps 2560 Discriminator Loss: 1.2954... Generator Loss: 0.7135
Epoch 5/5: steps 2570 Discriminator Loss: 1.2366... Generator Loss: 0.9337
Epoch 5/5: steps 2580 Discriminator Loss: 1.2737... Generator Loss: 0.6627
Epoch 5/5: steps 2590 Discriminator Loss: 1.2743... Generator Loss: 0.8301
Epoch 5/5: steps 2600 Discriminator Loss: 1.2920... Generator Loss: 0.8704
Epoch 5/5: steps 2610 Discriminator Loss: 1.2389... Generator Loss: 0.8284
Epoch 5/5: steps 2620 Discriminator Loss: 1.3791... Generator Loss: 0.8421
Epoch 5/5: steps 2630 Discriminator Loss: 1.2367... Generator Loss: 0.7096
Epoch 5/5: steps 2640 Discriminator Loss: 1.2381... Generator Loss: 0.7645
Epoch 5/5: steps 2650 Discriminator Loss: 1.1665... Generator Loss: 0.8408
Epoch 5/5: steps 2660 Discriminator Loss: 1.2864... Generator Loss: 0.8882
Epoch 5/5: steps 2670 Discriminator Loss: 1.2525... Generator Loss: 0.7916
Epoch 5/5: steps 2680 Discriminator Loss: 1.2213... Generator Loss: 0.8585
Epoch 5/5: steps 2690 Discriminator Loss: 1.3064... Generator Loss: 0.7914
Epoch 5/5: steps 2700 Discriminator Loss: 1.3328... Generator Loss: 0.9519
Epoch 5/5: steps 2710 Discriminator Loss: 1.2313... Generator Loss: 0.8762
Epoch 5/5: steps 2720 Discriminator Loss: 1.3194... Generator Loss: 0.6515
Epoch 5/5: steps 2730 Discriminator Loss: 1.3312... Generator Loss: 0.8960
Epoch 5/5: steps 2740 Discriminator Loss: 1.1492... Generator Loss: 0.8921
Epoch 5/5: steps 2750 Discriminator Loss: 1.1828... Generator Loss: 1.0069
Epoch 5/5: steps 2760 Discriminator Loss: 1.2651... Generator Loss: 0.7855
Epoch 5/5: steps 2770 Discriminator Loss: 1.2705... Generator Loss: 0.7496
Epoch 5/5: steps 2780 Discriminator Loss: 1.2289... Generator Loss: 0.7489
Epoch 5/5: steps 2790 Discriminator Loss: 1.2493... Generator Loss: 0.7192
Epoch 5/5: steps 2800 Discriminator Loss: 1.2080... Generator Loss: 0.8579
Epoch 5/5: steps 2810 Discriminator Loss: 1.2994... Generator Loss: 0.7967
Epoch 5/5: steps 2820 Discriminator Loss: 1.3402... Generator Loss: 0.8120
Epoch 5/5: steps 2830 Discriminator Loss: 1.3705... Generator Loss: 0.8465
Epoch 5/5: steps 2840 Discriminator Loss: 1.2790... Generator Loss: 0.8538
Epoch 5/5: steps 2850 Discriminator Loss: 1.1929... Generator Loss: 0.7849
Epoch 5/5: steps 2860 Discriminator Loss: 1.2188... Generator Loss: 0.9683
Epoch 5/5: steps 2870 Discriminator Loss: 1.2608... Generator Loss: 0.8488
Epoch 5/5: steps 2880 Discriminator Loss: 1.2252... Generator Loss: 0.7942
Epoch 5/5: steps 2890 Discriminator Loss: 1.2312... Generator Loss: 0.7999
Epoch 5/5: steps 2900 Discriminator Loss: 1.2553... Generator Loss: 0.8016
Epoch 5/5: steps 2910 Discriminator Loss: 1.2959... Generator Loss: 0.8622
Epoch 5/5: steps 2920 Discriminator Loss: 1.2687... Generator Loss: 0.7583
Epoch 5/5: steps 2930 Discriminator Loss: 1.2993... Generator Loss: 0.7165
Epoch 5/5: steps 2940 Discriminator Loss: 1.2542... Generator Loss: 0.7762
Epoch 5/5: steps 2950 Discriminator Loss: 1.2370... Generator Loss: 0.7281
Epoch 5/5: steps 2960 Discriminator Loss: 1.2496... Generator Loss: 0.8692
Epoch 5/5: steps 2970 Discriminator Loss: 1.2163... Generator Loss: 0.8229
Epoch 5/5: steps 2980 Discriminator Loss: 1.2383... Generator Loss: 0.8246
Epoch 5/5: steps 2990 Discriminator Loss: 1.2582... Generator Loss: 0.8115
Epoch 5/5: steps 3000 Discriminator Loss: 1.2820... Generator Loss: 0.8374
Epoch 5/5: steps 3010 Discriminator Loss: 1.3977... Generator Loss: 0.6979
Epoch 5/5: steps 3020 Discriminator Loss: 1.2175... Generator Loss: 0.7732
Epoch 5/5: steps 3030 Discriminator Loss: 1.2392... Generator Loss: 0.9160
Epoch 5/5: steps 3040 Discriminator Loss: 1.2995... Generator Loss: 0.9068
Epoch 5/5: steps 3050 Discriminator Loss: 1.2533... Generator Loss: 0.8163
Epoch 5/5: steps 3060 Discriminator Loss: 1.2588... Generator Loss: 0.8472
Epoch 5/5: steps 3070 Discriminator Loss: 1.2821... Generator Loss: 0.7237
Epoch 5/5: steps 3080 Discriminator Loss: 1.2410... Generator Loss: 0.8805
Epoch 5/5: steps 3090 Discriminator Loss: 1.2508... Generator Loss: 0.7943

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.